小波分析及其应用__孙延奎

Fast wavelet transforms and numerical algorithms 1

本程序应用小波变换进行电力系统的在线监测。电力系统在线监测中的检测信号含有大量的背景噪声，不便于检测。应用小波变换解决这一问题。程序中应用db3小波对信号进行5层分解，并得出了各层的细节信号与逼近信号。(This procedure based on wavelet transform power-line monitoring system. Online monitoring of power system test signal contains a lot of background noise, not easy to detect. Application of wavelet transform to resolve this problem. Application procedures for db3 wavelet signal decomposition layer 5, and arrive at different levels of detail signal and approximation signal.)

时频分析，同步挤压小波变换，一种更精细的时频表示！(Signal time-frequency analysis, synchronous extrusion wavelet transform, a finer time-frequency said!!!!)

一种基于EMD分解后对imf分量利用小波分解进行去噪的方法，给出了相应的例子，有注释(Based on the EMD decomposition after the imf component by using the method of wavelet decomposition denoising, corresponding examples are given, with comments)

与labview之间的联系 在小波变换方面(Contact between labview in terms of the wavelet transform)

小波包变换分析信号的MATLAB程序，可用于提取故障特征向量(Wavelet packet transform analysis of signals in MATLAB procedures, can be used to extract fault feature vector)

小波域图像滤波，采用双变量收缩函数发实现(Bivariate Shrinkage Functions for Wavelet-Based Denoising)

滚动轴承外圈故障频率，小波分析后包络变换，数据来源西储大学

非抽样小波变换的程序，可以自己更改使用，去噪效果较好( UWT s program, you can change the use of their own, better de-noising)

实现基于离散小波（dwt）的奇异值（svd）分解算法的实现(Decomposition algorithm based on singular value of the discrete wavelet (dwt) (svd))